Document Detail


A proportional hazards cure model for the analysis of time to event with frequently unidentifiable causes.
MedLine Citation:
PMID:  18078485     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We propose a semiparametric method for the analysis of masked-cause failure data that are also subject to a cure. We present estimators for the failure time distribution, the cure rate, and the covariate effect on each of these, assuming a proportional hazards cure model for the time to event of interest and we use the expectation-maximization algorithm to conduct the likelihood maximization. The method is applied to data from a breast cancer clinical trial.
Authors:
Suzanne E Dahlberg; Molin Wang
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Biometrics     Volume:  63     ISSN:  0006-341X     ISO Abbreviation:  Biometrics     Publication Date:  2007 Dec 
Date Detail:
Created Date:  2007-12-14     Completed Date:  2008-01-22     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0370625     Medline TA:  Biometrics     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1237-44     Citation Subset:  IM    
Affiliation:
Department of Biostatistics, Harvard School of Public Health and Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA. dahlberg@jimmy.harvard.edu
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MeSH Terms
Descriptor/Qualifier:
Breast Neoplasms / epidemiology*,  therapy*
Causality
Female
Humans
Outcome Assessment (Health Care) / methods*
Proportional Hazards Models*
Risk Assessment / methods*
Risk Factors
Sensitivity and Specificity
Time Factors
Treatment Outcome
Grant Support
ID/Acronym/Agency:
CA-75362/CA/NCI NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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